Merchandise Recommendation for Retail Events with Word Embedding Weighted Tf-idf and Dynamic Query Expansion

被引：1

作者：

Yuan, Ted Tao ^{[1
]}

Zhang, Zezhong ^{[1
]}

机构：

[1] eBay Inc, San Jose, CA 95125 USA

来源：

ACM/SIGIR PROCEEDINGS 2018 | 2018年

关键词：

eCommerce; recommendation; algorithm; relevance; query expansion; word embedding;

D O I：

10.1145/3209978.3210202

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

To recommend relevant merchandises for seasonal retail events, we rely on item retrieval from marketplace inventory. With feedback to expand query scope, we discuss keyword expansion candidate selection using word embedding similarity, and an enhanced tf-idf formula for expanded words in search ranking.

引用

页码：1347 / 1348

页数：2

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